Instructions to use H-oliday/SwiftVR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use H-oliday/SwiftVR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("H-oliday/SwiftVR", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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README.md
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## π Model Zoo
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---
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| Model Name | Date | Backbone | Link |
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| RVR | 2026.06 | Wan2.2-TI2V-5B | [π€ HuggingFace](https://huggingface.co/H-oliday/RVR) |
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## π Quick Start
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### Python API
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```python
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## π Repository Structure
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```
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RVR/
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βββ README.md
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## π¬ More Visual Results
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> Full-length restored clips (low-quality input β RVR, played back to back).
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<video src="assets/demo_1.mp4" controls width="100%"></video>
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<video src="assets/demo_2.mp4" controls width="100%"></video>
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<video src="assets/demo_3.mp4" controls width="100%"></video>
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## π Citation
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## π Model Zoo
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| Model Name | Date | Backbone | Link |
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| RVR | 2026.06 | Wan2.2-TI2V-5B | [π€ HuggingFace](https://huggingface.co/H-oliday/RVR) |
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## π Quick Start
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### Python API
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```python
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## π Repository Structure
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```
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RVR/
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βββ README.md
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## π¬ More Visual Results
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---
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> Full-length restored clips (low-quality input β RVR, played back to back).
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<video src="https://huggingface.co/H-oliday/RVR/blob/main/assets/demo_1.mp4" controls width="100%"></video>
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<video src="https://huggingface.co/H-oliday/RVR/blob/main/assets/demo_2.mp4" controls width="100%"></video>
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<video src="https://huggingface.co/H-oliday/RVR/blob/main/assets/demo_3.mp4" controls width="100%"></video>
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## π Citation
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